DocumentCode
3713623
Title
Smartwatch-based biometric gait recognition
Author
Andrew H. Johnston;Gary M. Weiss
Author_Institution
Department of Computer and Information Science, WISDM Laboratory, Fordham University, 441 East Fordham Road, Bronx NY 10458, USA
fYear
2015
Firstpage
1
Lastpage
6
Abstract
The advent of commercial smartwatches provides an intriguing new platform for mobile biometrics. Like their smartphone counterparts, these mobile devices can perform gait-based biometric identification because they too contain an accelerometer and a gyroscope. However, smartwatches have several advantages over smartphones for biometric identification because users almost always wear their watch in the same location and orientation. This location (i.e. the wrist) tends to provide more information about a user´s movements than the most common location for smartphones (pockets or handbags). In this paper we show the feasibility of using smartwatches for gait-based biometrics by demonstrating the high levels of accuracy that can result from smartwatch-based identification and authentication models. Applications of smartwatch-based biometrics range from a new authentication challenge for use in a multifactor authentication system to automatic personalization by identifying the user of a shared device.
Keywords
"Authentication","Gyroscopes","Accelerometers","Biosensors","Gait recognition","Performance evaluation"
Publisher
ieee
Conference_Titel
Biometrics Theory, Applications and Systems (BTAS), 2015 IEEE 7th International Conference on
Type
conf
DOI
10.1109/BTAS.2015.7358794
Filename
7358794
Link To Document